TL;DR: Google does not show you every search query that triggers your ads. An independent analysis of $20 million in ad spend found up to 85% wasted on unseen queries. The queries Google hides cost 52% more per click and deliver 44% lower CTR than visible terms. Your Search Terms Report is the single most important diagnostic tool in Google Ads — and most advertisers either ignore it or do not know how to read it. This guide gives you a complete weekly audit process.
The Search Terms Report is where theory meets reality. Your keywords are what you tell Google to target. Your search terms are what people actually type. The gap between the two is where your money goes to die.
Every week you skip auditing this report, you are funding Google's $264 billion revenue machine with queries like "plumber salary," "HVAC meme," and "free lawyer advice." This guide ensures that stops.
Keywords vs Search Terms: The Critical Distinction
Before diving into the audit process, you need to understand a fundamental distinction that many advertisers miss.
Keywords: What You Bid On
Keywords are the terms you add to your Google Ads account. They are your targeting instructions. When you add "emergency plumber near me" as a keyword, you are telling Google: "Show my ad when someone searches for something related to this."
Search Terms: What People Actually Search
Search terms (also called search queries) are the actual words people type into Google that trigger your ad. Thanks to match type expansion, these can be very different from your keywords.
The Gap in Action
| Your Keyword | Match Type | Actual Search Term | Relevant? |
|---|---|---|---|
| plumber near me | Broad | plumber near me | Yes |
| plumber near me | Broad | plumber salary near me | No |
| plumber near me | Broad | plumber school near me | No |
| plumber near me | Broad | plumber apprentice near me | No |
| plumber near me | Broad | cheap plumber near me | Maybe |
| plumber near me | Broad | emergency plumber near me now | Yes |
| AC repair | Phrase | AC repair cost | Yes |
| AC repair | Phrase | AC repair YouTube tutorial | No |
| AC repair | Phrase | AC repair DIY guide | No |
| dental cleaning | Exact | dental cleaning near me | Yes (close variant) |
| dental cleaning | Exact | dental cleaning products | No (but Google shows it) |
Key insight: Even exact match is no longer truly exact. Google now shows ads for "close variants" and "meaning matches" — which sometimes have very different intent.
The Hidden Query Problem
This is where the waste becomes staggering.
What Google Hides
Google does not show you every search term that triggered your ads. Some queries are aggregated under an "Other search terms" category, ostensibly for privacy reasons (queries with very low volume).
The scale of this hidden data is significant:
- 20-40% of all search queries remain invisible to advertisers (North Country Consulting)
- Hidden terms have 52% higher CPC than visible terms (North Country Consulting)
- Hidden terms have 44% lower CTR than visible terms (North Country Consulting)
- An analysis of $20 million in ad spend found up to 85% wasted on unseen queries (North Country Consulting)
Why This Matters
If you cannot see a query, you cannot:
- Add it as a negative keyword
- Evaluate its conversion performance
- Determine if it is relevant to your business
- Make informed bidding decisions
You are paying for clicks on queries you cannot evaluate, at CPCs that are 52% higher than your visible terms. This is a structural disadvantage that Google has no financial incentive to fix — hidden queries generate revenue with minimal advertiser scrutiny.
What You CAN Do About It
While you cannot force Google to reveal all queries, you can:
- Tighten match types — Exact and phrase match trigger fewer irrelevant hidden queries than broad match
- Build comprehensive negative keyword lists — Block known patterns before they waste money
- Monitor the "Other search terms" aggregate — If its metrics are poor, your targeting is too broad
- Use tighter geographic targeting — Fewer locations = fewer irrelevant local queries
- Analyze the visible terms aggressively — If visible terms show waste, hidden terms are almost certainly worse
How to Access the Search Terms Report
Standard Access Path
- Sign in to your Google Ads account
- Navigate to Campaigns (or a specific campaign)
- Click Insights & Reports in the left navigation
- Select Search terms
Customizing the Report
Add these columns for a complete view:
| Column | Why You Need It |
|---|---|
| Search term | The actual query |
| Match type | How Google matched it to your keyword |
| Keyword | Which of your keywords triggered the ad |
| Campaign | Which campaign served the ad |
| Ad group | Which ad group |
| Impressions | How many times the ad showed |
| Clicks | How many people clicked |
| CTR | Click-through rate |
| Cost | Total spend on this query |
| Conversions | Number of conversions |
| Conv. rate | Conversion rate |
| Cost/conv. | Cost per conversion |
Exporting for Analysis
For deeper analysis, export the report:
- Click the Download icon (top right of the report)
- Choose CSV or Google Sheets format
- Select date range (minimum 30 days for meaningful data)
- Download and open in your preferred tool
The Weekly Audit Process: Step by Step
This is the core routine that should take 15-30 minutes per week. Do it every Monday morning. Set a calendar reminder. Do not skip it.
Step 1: Export the Past 7 Days of Search Terms (3 minutes)
- Go to Search Terms Report
- Set date range to the past 7 days
- Sort by Cost (highest first)
- Scan the top 50-100 terms
Step 2: Identify Irrelevant Queries — The Waste Scan (5-7 minutes)
Go through each search term and ask: "Would I want this person to see my ad?"
Flag queries that are:
Obviously irrelevant:
- Job searches (salary, hiring, career)
- Educational queries (how to, school, course)
- DIY searches (tutorial, guide, repair manual)
- Entertainment (meme, funny, video)
- Wrong service (you offer residential, query is commercial)
- Wrong location (you serve Chicago, query is about Dallas)
Possibly irrelevant (investigate further):
- Queries with spend but zero conversions over multiple weeks
- Queries with very low CTR (under 2%) indicating poor ad-to-query match
- Queries containing competitor names (unless you target them intentionally)
- Generic queries with high impressions but no conversions
Step 3: Add Negative Keywords (3-5 minutes)
For each irrelevant query identified:
-
Select the query (checkbox)
-
Click "Add as negative keyword"
-
Choose the appropriate level:
- Ad group level — if the query is irrelevant only for this specific ad group
- Campaign level — if the query is irrelevant for the entire campaign
- Shared negative keyword list — if the query is irrelevant across all campaigns
-
Choose the match type:
- Individual query — add as exact match negative
- Pattern within the query — add the problematic word/phrase as broad or phrase match negative
Example: If you see "plumber salary in Austin," do not just add [plumber salary in Austin] as an exact negative. Add "salary" as a broad match negative to block all salary-related queries at once.
For a complete negative keyword strategy with 200+ templates, see The Negative Keywords Masterclass.
Step 4: Identify High-Performing Queries — The Gold Mining (3-5 minutes)
Not all discoveries in the Search Terms Report are negative. You will also find high-converting queries that you should be bidding on directly.
Look for:
- Queries with conversions that are NOT already keywords in your account
- Queries with high CTR (above your campaign average) that you did not anticipate
- Long-tail queries that reveal how customers actually describe their needs
- Location-specific queries that suggest geographic expansion opportunities
Action: Add these as exact match keywords in the appropriate ad group. This gives you:
- More control over bids for proven converters
- Better Quality Score (tighter keyword-to-ad match)
- Data that is not hidden under "Other search terms"
Step 5: Analyze Match Type Performance (2-3 minutes)
The Search Terms Report shows which match type Google used to trigger each impression. Create a quick summary:
| Match Type | Clicks | Conversions | CVR | CPA | Trend |
|---|---|---|---|---|---|
| Exact | |||||
| Phrase | |||||
| Broad |
If broad match is delivering significantly worse CPA or CVR than exact/phrase, consider tightening your match types.
Step 6: Check the "Other Search Terms" Row (1-2 minutes)
At the bottom of the report, look for the aggregated "Other search terms" row. Compare its metrics to your visible terms:
| Metric | Visible Terms | "Other" Terms | Verdict |
|---|---|---|---|
| CTR | 6.5% | 3.2% | Hidden terms underperform |
| CPC | $5.20 | $7.80 | Hidden terms cost 50% more |
| CVR | 8.1% | 2.4% | Hidden terms convert poorly |
| Cost | $2,400 | $1,800 | 43% of spend on hidden terms |
If "Other" underperforms visible: Your targeting is too broad. Tighten match types, add more negatives, narrow geographic targeting.
If "Other" outperforms visible: Your broad targeting is finding good queries Google does not report. This is rare but possible.
The Close Variant Problem: Exact Match Is Not Exact
One of the most frustrating aspects of modern Google Ads is that exact match keywords no longer match only the exact query.
What Google Considers a "Close Variant"
Google's close variant matching includes:
- Misspellings: "plumber" matches "plummber"
- Singular/plural: "plumber" matches "plumbers"
- Abbreviations: "AC repair" matches "air conditioning repair"
- Reordering: "plumber emergency" matches "emergency plumber"
- Function words: "plumber in Chicago" matches "plumber Chicago"
- Implied words: "plumber" can match "plumbing service"
- Meaning matches: "affordable plumber" might match "cheap plumber" or even "budget plumbing"
The Problem
Some close variants are helpful. "Emergency plumber" matching "emergency plumbers" is fine.
But Google increasingly stretches the definition:
| Your Exact Match Keyword | Google's "Close Variant" Match | Same Intent? |
|---|---|---|
| [dental cleaning] | dental cleaning products | No |
| [AC repair] | AC repair training | No |
| [hire plumber] | become a hired plumber | No |
| [lawyer consultation] | free lawyer consultation | Debatable |
| [house cleaning service] | house cleaning supplies | No |
How to Fight Close Variant Creep
- Review search terms weekly — Close variant mismatches are only visible in the Search Terms Report
- Add mismatched variants as exact match negatives — [dental cleaning products], [AC repair training], etc.
- Monitor conversion rates by match type — If exact match CVR is declining, close variants are likely diluting quality
- Report to Google — You can flag incorrect close variant matches (though this rarely changes anything)
- Consider scripts — Automated scripts can flag search terms that differ significantly from your exact match keywords
Mining for New Keywords: The Positive Side
The Search Terms Report is not just for finding waste. It is your best source of new keyword ideas — because these are real queries from real people who clicked your ad.
The Mining Process
Step 1: Filter for Converting Terms
Export the Search Terms Report for the past 90 days. Sort by conversions (highest first). Look for:
- Terms with 2+ conversions that are not currently keywords
- Terms with strong CVR (above your campaign average)
- Terms revealing customer language you had not considered
Step 2: Analyze the Language
Customers describe their problems differently than you describe your services:
| What You Call It | What Customers Search |
|---|---|
| Drain cleaning service | drain won't drain |
| HVAC maintenance | AC not working |
| Pipe repair | water coming from wall |
| Electrical inspection | house wiring check |
| Teeth whitening | make teeth whiter |
These customer-language queries often have lower competition and higher conversion rates because fewer advertisers target them.
Step 3: Create New Keywords from Discoveries
For each high-performing search term:
- Add it as an exact match keyword in the most relevant ad group
- Create ad copy that specifically addresses the query
- Ensure the landing page matches the intent
- Set an appropriate bid based on its demonstrated conversion rate
Step 4: Discover New Ad Group Themes
If you find a cluster of related converting queries that do not fit your existing ad groups, create a new ad group:
Discovery: Multiple queries converting around "water heater"
- "water heater not working"
- "water heater replacement cost"
- "new water heater installation near me"
- "water heater leaking"
Action: Create new ad group "Water Heater Services"
- Add these as exact/phrase match keywords
- Write ad copy specific to water heater services
- Create/assign a water heater landing page
Advanced Search Terms Analysis
Method 1: Keyword-to-Search-Term Mapping
Add the Keyword column to your Search Terms Report to see which keyword triggered each search term. This reveals:
Overloaded keywords: One keyword generating dozens of different search terms — some relevant, some not. If a single keyword generates too many irrelevant queries, pausing that keyword may be more effective than adding dozens of negatives.
Keyword cannibalization: Multiple keywords triggering the same search term. This wastes budget (you compete against yourself) and confuses Google's optimization.
Misattribution: A keyword in one campaign triggering queries that should be handled by a different campaign. Use negative keywords to force queries to the right campaign.
Method 2: Time-Based Analysis
Export search terms data for different time periods and compare:
| Time Period | Top Query | Conversions | CPA | Insight |
|---|---|---|---|---|
| Jan-Mar | "tax accountant near me" | 45 | $28 | Seasonal spike |
| Apr-Jun | "bookkeeping service" | 22 | $35 | Consistent demand |
| Jul-Sep | "tax planning help" | 8 | $62 | Off-season, lower volume |
| Oct-Dec | "year end tax preparation" | 38 | $31 | Pre-season buildup |
This reveals seasonal patterns that inform:
- Budget allocation by quarter
- Keyword expansion/contraction by season
- Ad copy changes for seasonal relevance
Method 3: Geographic Analysis
If you run campaigns across multiple locations, analyze search terms by geography:
- Segment your Search Terms Report by Location (User Location)
- Compare which queries convert in which areas
- Add location-specific negatives for areas with poor performance
- Create location-specific ad groups for high-performing local queries
Method 4: Device Analysis
Search behavior differs by device:
| Device | Typical Query Style | Conversion Pattern |
|---|---|---|
| Mobile | Short, urgent ("plumber now") | Phone calls, fast conversion |
| Desktop | Longer, research-oriented ("best plumber for bathroom remodel reviews") | Form fills, longer consideration |
| Tablet | Mixed | Often poor conversion (consider -100% bid) |
Segment your search terms by device to identify:
- Mobile-specific queries worth targeting with call extensions
- Desktop-specific queries needing detailed landing pages
- Device-specific negative keywords
The Performance Max Search Terms Problem
As of 2025-2026, Performance Max campaigns now include search term data in the standard Search Terms Report. However, the visibility remains limited.
What You Can See
- Search terms that triggered PMax ads
- Basic metrics (impressions, clicks, conversions)
- Campaign and ad group attribution
What You Still Cannot See
- Full query coverage (significant portions remain hidden)
- Which specific asset or channel served the ad
- Detailed match type information
- Placement-level data for Display/YouTube components
What You Can Do
- Add negative keywords — PMax now supports up to 10,000 negative keywords per campaign (January 2025 update)
- Apply shared negative keyword lists to PMax campaigns
- Review PMax search terms weekly alongside your Search campaign terms
- Identify branded query cannibalization — If PMax shows ads for your brand name, add brand exclusions
This is a meaningful improvement over previous years, but PMax search term visibility still lags far behind standard Search campaigns.
Building the Weekly Audit into Your Workflow
The 15-Minute Monday Routine
| Time | Action |
|---|---|
| 0:00-3:00 | Export last 7 days of search terms, sort by cost |
| 3:00-8:00 | Scan top 50-100 terms for irrelevant queries |
| 8:00-11:00 | Add negatives (individual terms and patterns) |
| 11:00-14:00 | Flag high-converting terms for keyword addition |
| 14:00-15:00 | Check "Other search terms" aggregate metrics |
Monthly Deep Dive (45-60 minutes)
| Time | Action |
|---|---|
| 0:00-15:00 | Export 30 days, run N-Gram analysis |
| 15:00-30:00 | Identify systematic waste patterns |
| 30:00-40:00 | Mine for new keyword opportunities |
| 40:00-50:00 | Compare match type performance trends |
| 50:00-60:00 | Update shared negative keyword lists |
Quarterly Strategic Review (2-3 hours)
| Time | Action |
|---|---|
| 0:00-30:00 | Full 90-day N-Gram analysis |
| 30:00-60:00 | Keyword-to-search-term mapping review |
| 60:00-90:00 | Seasonal trend analysis |
| 90:00-120:00 | Geographic and device segmentation |
| 120:00-150:00 | Competitor query analysis and strategy update |
| 150:00-180:00 | Action plan for next quarter |
Red Flags in Your Search Terms Report
When auditing, watch for these warning signs.
Red Flag 1: More Than 10% of Terms Need to Be Added as Negatives
If you are consistently adding more than 10% of search terms as negatives, your underlying targeting has a structural problem (Jyll Saskin Gales, former Google employee).
Fix: Before adding more negatives, evaluate:
- Are your keywords too broad? Switch match types.
- Do your ad groups have too many keywords? Restructure into tighter themes.
- Is broad match expanding too aggressively? Fall back to phrase/exact.
Red Flag 2: "Other Search Terms" Represents More Than 30% of Spend
If Google is hiding more than 30% of your search terms, you are flying blind on a significant portion of your budget.
Fix:
- Switch to exact and phrase match for primary keywords
- Tighten geographic targeting
- Add more proactive negative keywords to limit irrelevant hidden queries
Red Flag 3: One Keyword Generating 50+ Different Search Terms
This keyword is too broad. It is acting as a gateway for dozens of queries, many of which are likely irrelevant.
Fix:
- Pause the broad keyword
- Add the specific converting search terms as exact match keywords
- Add the irrelevant search terms as negatives
- Consider splitting into more specific ad groups
Red Flag 4: Declining Conversion Rates on Exact Match Keywords
If your exact match keywords are converting less over time, Google's close variant expansion is likely sending increasingly irrelevant traffic.
Fix:
- Review exact match search terms for irrelevant close variants
- Add mismatched variants as exact match negatives
- Monitor the trend monthly
Red Flag 5: High Spend, Zero Conversions on Specific Queries
Any search term that has spent more than 3x your target CPA without a single conversion should be immediately negative-listed.
Fix:
- Sort search terms by cost
- Filter for zero conversions
- Add all terms with spend above your CPA threshold as negatives
Search Terms Report Metrics Cheat Sheet
Here is a quick reference for interpreting the numbers.
CTR Benchmarks (by what they indicate)
| CTR | Interpretation | Action |
|---|---|---|
| Above 8% | Strong ad-to-query relevance | Monitor and maintain |
| 5-8% | Good alignment | Minor ad copy refinements |
| 3-5% | Moderate — possible mismatch | Review ad copy and landing page |
| Below 3% | Poor alignment or irrelevant query | Investigate — likely needs negative |
Conversion Rate Benchmarks
| CVR | Interpretation | Action |
|---|---|---|
| Above 10% | Excellent — high-intent match | Increase bids to capture more |
| 5-10% | Good — working well | Optimize ad copy and landing page |
| 2-5% | Average | Test improvements |
| Below 2% | Poor — possible intent mismatch | Evaluate keyword/query relevance |
Cost Per Conversion Decision Framework
| CPA vs Target | Action |
|---|---|
| Below 50% of target | Increase bids — you are underinvesting in a winner |
| 50-100% of target | Healthy — maintain |
| 100-150% of target | Optimize — test ad copy, landing page, bid |
| Above 150% of target | Review for negative or pause |
| Above 300% of target with zero conversions | Immediate negative keyword |
Automation: Scripts for Search Terms Auditing
For accounts spending over $5,000/month, automation reduces audit time significantly.
Search Query Mining Script
Automated scripts can:
- Pull search terms data daily
- Flag queries with spend above CPA threshold and zero conversions
- Alert you via email when new high-cost irrelevant queries appear
- Track the "Other search terms" metrics over time
- Run N-Gram analysis automatically
Recommended Scripts
Available from ads-scripts.com and similar resources:
- Search Terms Must Match — Alerts when search terms deviate significantly from keywords
- Expensive CPC Detector — Flags queries with abnormally high CPC
- Account Metrics Alerts — Monitors for sudden CTR or CVR drops (which often indicate new irrelevant query matching)
- N-Gram Analysis Script — Automated weekly n-gram analysis with Google Sheets output
PPC specialists run an average of 3.8 scripts per account, and the Search Query Mining script is consistently ranked among the top 5 most essential scripts.
Key Takeaways
The Core Problem
- 20-40% of search queries are hidden from advertisers
- Hidden terms cost 52% more per click and deliver 44% lower CTR
- Up to 85% of $20 million in ad spend was wasted on unseen queries
- Exact match is no longer truly exact — close variants expand targeting unpredictably
The Solution
- Weekly audit of Search Terms Report (15-30 minutes)
- Add negatives for irrelevant queries (pattern-level, not one-by-one)
- Mine for new keywords from high-converting search terms
- Tighten match types when hidden query spend exceeds 30% of total
- Run N-Gram analysis monthly or quarterly for systematic waste patterns
The Metrics That Matter
| Metric | Healthy Range | Action If Outside Range |
|---|---|---|
| Negative additions per week | 3-10 terms | If >10%, targeting is too broad |
| "Other" terms % of spend | <20% | If >30%, tighten match types |
| Exact match CVR trend | Stable or improving | If declining, check close variants |
| Zero-conversion queries above CPA threshold | Zero | Add as negatives immediately |
The Weekly Commitment
15 minutes every Monday. That is all it takes to prevent thousands in monthly waste. The Search Terms Report is not a nice-to-have. It is the diagnostic tool that separates profitable Google Ads accounts from the 29% that generate zero conversions over 90 days.
As Jyll Saskin Gales (former Google employee, 6 years at Google) puts it: "Mastering the search term report can dramatically improve targeting, cut wasted spend, and reveal what real customers are searching for."
Next Steps
- Run your first audit today — Export the past 30 days and follow the step-by-step process above
- Add at least 20 negative keywords from your initial audit
- Set a Monday morning calendar reminder for weekly audits
- Build a tracking spreadsheet to monitor "Other search terms" metrics over time
- Schedule a quarterly N-Gram analysis to catch systematic patterns
For the complete negative keyword strategy, see The Negative Keywords Masterclass. For the intent-based keyword framework that makes your search terms more relevant from the start, read High-Intent Keywords for Service Businesses. For the bigger picture on how Google's defaults create waste, see Google Ads Default Settings That Waste Money.
This article is part of the Google Ads Efficiency Playbook 2026 series. Data sourced from North Country Consulting, PPC Land (15,000 accounts), Search Engine Land (Jyll Saskin Gales), Search Engine Journal, WordStream, GROAS.ai, and industry benchmarks.